Model Comparison

Phi-3.5-MoE-instruct vs Qwen2.5-Coder 7B Instruct

Phi-3.5-MoE-instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

10 benchmarks

Phi-3.5-MoE-instruct outperforms in 8 benchmarks (ARC-C, GSM8k, HellaSwag, MATH, MMLU, MMLU-Pro, TruthfulQA, Winogrande), while Qwen2.5-Coder 7B Instruct is better at 2 benchmarks (HumanEval, MBPP).

Phi-3.5-MoE-instruct significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Microsoft
Phi-3.5-MoE-instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

53.0B diff

Phi-3.5-MoE-instruct has 53.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 757.1% larger.

Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
7.0Bparameters
60.0B
Phi-3.5-MoE-instruct
7.0B
Qwen2.5-Coder 7B Instruct

License

Usage and distribution terms

Phi-3.5-MoE-instruct is licensed under MIT, while Qwen2.5-Coder 7B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Phi-3.5-MoE-instruct

MIT

Open weights

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-3.5-MoE-instruct was released on 2024-08-23, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

Qwen2.5-Coder 7B Instruct is 1 month newer than Phi-3.5-MoE-instruct.

Phi-3.5-MoE-instruct

Aug 23, 2024

1.6 years ago

Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.6 years ago

3w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Microsoft
Higher ARC-C score (91.0% vs 60.9%)
Higher GSM8k score (88.7% vs 83.9%)
Higher HellaSwag score (83.8% vs 76.8%)
Higher MATH score (59.5% vs 46.6%)
Higher MMLU score (78.9% vs 67.6%)
Higher MMLU-Pro score (45.3% vs 40.1%)
Higher TruthfulQA score (77.5% vs 50.6%)
Higher Winogrande score (81.3% vs 72.9%)
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

Higher HumanEval score (88.4% vs 70.7%)
Higher MBPP score (83.5% vs 80.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi-3.5-MoE-instruct
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct

FAQ

Common questions about Phi-3.5-MoE-instruct vs Qwen2.5-Coder 7B Instruct

Phi-3.5-MoE-instruct significantly outperforms across most benchmarks. Phi-3.5-MoE-instruct is made by Microsoft and Qwen2.5-Coder 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.
Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Phi-3.5-MoE-instruct is developed by Microsoft and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.